Triple
T35612780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Библиотека имени Ленина |
E1029082
|
entity |
| Predicate | названаВЧесть |
P116229
|
FINISHED |
| Object | Владимир Ильич Ленин |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Владимир Ильич Ленин | Statement: [Библиотека имени Ленина, названаВЧесть, Владимир Ильич Ленин]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: названаВЧесть Context triple: [Библиотека имени Ленина, названаВЧесть, Владимир Ильич Ленин]
-
A.
namedInHonorBy
chosen
Indicates that one entity has been used as the namesake or dedicatee by another entity, signifying that the latter is named in honor of the former.
-
B.
namedIn
Indicates that one entity is explicitly mentioned or referenced by name within another entity (such as a document, statement, or record).
-
C.
fieldNamedInHonorOf
Indicates that a field (such as a sports or academic field) bears a particular name as a tribute or dedication to a specific person or entity.
-
D.
alsoHonoredAs
Indicates that an entity is additionally recognized or celebrated under another title, role, or form of honor beyond its primary designation.
-
E.
namedAccordingTo
Indicates that one entity is given a name that follows, references, or is derived from another entity or source.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e0653ec81909b1b813c126c6574 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ecbd7dc8190ad5a206b51394814 |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.